Literature DB >> 22585800

Genome-wide association study of swine farrowing traits. Part II: Bayesian analysis of marker data.

J F Schneider1, L A Rempel, W M Snelling, R T Wiedmann, D J Nonneman, G A Rohrer.   

Abstract

Reproductive efficiency has a great impact on the economic success of pork (sus scrofa) production. Number born alive (NBA) and average piglet birth weight (ABW) contribute greatly to reproductive efficiency. To better understand the underlying genetics of birth traits, a genome-wide association study (GWAS) was undertaken. Samples of DNA were collected and tested using the Illumina PorcineSNP60 BeadChip from 1,152 first parity gilts. Traits included total number born (TNB), NBA, number born dead (NBD), number stillborn (NSB), number of mummies (MUM), total litter birth weight (LBW), and ABW. A total of 41,151 SNP were tested using a Bayesian approach. Beginning with the first 5 SNP on SSC1 and ending with the last 5 SNP on the SSCX, SNP were assigned to groups of 5 consecutive SNP by chromosome-position order and analyzed again using a Bayesian approach. From that analysis, 5-SNP groups were selected having no overlap with another 5-SNP groups and no overlap across chromosomes. These selected 5-SNP non-overlapping groups were defined as QTL. Of the available 8,814 QTL, 124 were found to be statistically significant (P < 0.01). Multiple testing was considered using the probability of false positives. Eleven QTL were found for TNB, 3 on SSC1, 3 on SSC4, 1 on SSC13, 1 on SSC14, 2 on SSC15, and 1 on SSC17. Statistical testing for NBA identified 14 QTL, 4 on SSC1, 1 on SSC4, 1 on SSC6, 1 on SSC10, 1on SSC13, 3 on SSC15, and 3 on SSC17. A single NBD QTL was found on SSC11. No QTL were identified for NSB or MUM. Thirty-three QTL were found for LBW, 3 on SSC1, 1 on SSC2, 1 on SSC3, 5 on SSC4, 2 on SSC5, 5 on SSC6, 3 on SSC7, 2 on SSC9, 1 on SSC10, 2 on SSC14, 6 on SSC15, and 2 on SSC17. A total of 65 QTL were found for ABW, 9 on SSC1, 3 on SSC2, 9 on SSC5, 5 on SSC6, 1 on SSC7, 2 on SSC8, 2 on SSC9, 3 on SSC10, 1 on SSC11, 3 on SSC12, 2 on SSC13, 8 on SSC14, 8 on SSC15, 1 on SSC17, and 8 on SSC18. Several candidate genes have been identified that overlap QTL locations among TNB, NBA, NBD, and ABW. These QTL when combined with information on genes found in the same regions should provide useful information that could be used for marker assisted selection, marker assisted management, or genomic selection applications in commercial pig populations.

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Year:  2012        PMID: 22585800     DOI: 10.2527/jas.2011-4759

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  19 in total

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2.  Multi-breed genome-wide association study reveals heterogeneous loci associated with loin eye area in pigs.

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4.  Genome-wide association study of body weight in Australian Merino sheep reveals an orthologous region on OAR6 to human and bovine genomic regions affecting height and weight.

Authors:  Hawlader A Al-Mamun; Paul Kwan; Samuel A Clark; Mohammad H Ferdosi; Ross Tellam; Cedric Gondro
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5.  A Major Gene for Bovine Ovulation Rate.

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Journal:  PLoS One       Date:  2015-06-05       Impact factor: 3.240

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7.  A genome-wide association study to detect QTL for commercially important traits in Swiss Large White boars.

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8.  Genome-wide association study of meat quality traits in a White Duroc×Erhualian F2 intercross and Chinese Sutai pigs.

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Journal:  PLoS One       Date:  2013-05-28       Impact factor: 3.240

9.  Genome wide screening of candidate genes for improving piglet birth weight using high and low estimated breeding value populations.

Authors:  Lifan Zhang; Xiang Zhou; Jennifer J Michal; Bo Ding; Rui Li; Zhihua Jiang
Journal:  Int J Biol Sci       Date:  2014-02-07       Impact factor: 6.580

10.  Genome-wide association analysis and genomic prediction of Mycobacterium avium subspecies paratuberculosis infection in US Jersey cattle.

Authors:  Yalda Zare; George E Shook; Michael T Collins; Brian W Kirkpatrick
Journal:  PLoS One       Date:  2014-02-11       Impact factor: 3.240

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